\HeaderA{cutRulesetsAndMeasurePredictQual}{Cut Rule Set And Measures The Quality}{cutRulesetsAndMeasurePredictQual}
\begin{Description}\relax
Cuts rule set and measures the quality of predict table.
\end{Description}
\begin{Usage}
\begin{verbatim}
cutRulesetsAndMeasurePredictQual(ruleSet, testData, trainData, classes, name, rulesToCut)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{ruleSet}] a given rule set.
\item[\code{testData}] a test data used in final quality test.
\item[\code{trainData}] a train data used in cutting a rule set.
\item[\code{classes}] all possible classes of the data set.
\item[\code{name}] name of data set.
\item[\code{rulesToCut}] rate indicating number of rules to cut.
\end{ldescription}
\end{Arguments}
\begin{Details}\relax
Multi-task function used to automate the process of measuring the quality for different data sets.
\end{Details}

